Evidence map›Paper›PMID 38129440›Full record

ArticleNature communications2023

Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex.

Colin W Hoy, David R Quiroga-Martinez, Eduardo Sandoval, David King-Stephens, Kenneth D Laxer, Peter Weber, Jack J Lin, Robert T Knight

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026
    Review
  4. Review
  5. Brain network localization of anhedonia.Translational psychiatry · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Predictive encoding of auditory sequences in the human prefrontal cortex.bioRxiv : the preprint server for biology · 2025
    Article
  13. Neural and computational evidence for a predictive learning account of the testing effect.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Mechanically adaptive and deployable intracortical probes enable long-term neural electrophysiological recordings.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Encoding of Predictive Associations in Human Prefrontal and Medial Temporal Neurons During Pavlovian Appetitive Conditioning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Colin W Hoy *Department of Neurology, University of California, San Francisco, San Francisco, CA, USA. colin.hoy@ucsf.edu.ORCID 0000-0001-7422-2544
David R Quiroga-Martinez *Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
Eduardo SandovalHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0001-6774-5574
David King-StephensDepartment of Neurology and Neurosurgery, California Pacific Medical Center, San Francisco, CA, USA.
Kenneth D LaxerDepartment of Neurology and Neurosurgery, California Pacific Medical Center, San Francisco, CA, USA.
Peter WeberDepartment of Neurology and Neurosurgery, California Pacific Medical Center, San Francisco, CA, USA.ORCID 0000-0002-9900-4823
Jack J LinDepartment of Neurology, University of California, Davis, Davis, CA, USA.
Robert T KnightHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0001-8686-1685

Funding

Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Michael Peter Milham · 2017 to 2026
$25.3M
Neural circuit theory and trained recurrent network modeling of rapid learningU19NS107609 · NINDS · UNIVERSITY OF WASHINGTON · PI BUFFALO, ELIZABETH A · 2018 to 2022
$12.6M
Attention, Orientation and the Human Prefrontal CortexR01NS021135 · NINDS · UNIVERSITY OF CALIFORNIA DAVIS · PI Robert Thomas Knight · 1985 to 2026
$6.5M
ATTENTION, ORIENTATION, & THE HUMAN PREFRONTAL CORTEXR37NS021135 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI KNIGHT, ROBERT THOMAS · 2013 to 2019
$3.6M
Dynamics and Causal Functions of Large-Scale Cortical and Subcortical NetworksU01NS108916 · NINDS · WADSWORTH CENTER · PI WOLPAW, JONATHAN RICKEL · 2018 to 2019
$1.4M
Identifying the neural mechanisms of goal-directed decision-making in Parkinson's disease using closed-loop deep brain stimulationF32MH132174 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOY, COLIN · 2023 to 2025
$232k
NIMH NIH HHS F32 MH132174NIMH NIH HHS P50 MH109429NINDS NIH HHS R01 NS021135NINDS NIH HHS R37 NS021135NINDS NIH HHS U01 NS108916NINDS NIH HHS U19 NS107609
6 · The paper itself

Abstract

The signed value and unsigned salience of reward prediction errors (RPEs) are critical to understanding reinforcement learning (RL) and cognitive control. Dorsomedial prefrontal cortex (dMPFC) and insula (INS) are key regions for integrating reward and surprise information, but conflicting evidence for both signed and unsigned activity has led to multiple proposals for the nature of RPE representations in these brain areas. Recently developed RL models allow neurons to respond differently to positive and negative RPEs. Here, we use intracranially recorded high frequency activity (HFA) to test whether this flexible asymmetric coding strategy captures RPE coding diversity in human INS and dMPFC. At the region level, we found a bias towards positive RPEs in both areas which paralleled behavioral adaptation. At the local level, we found spatially interleaved neural populations responding to unsigned RPE salience and valence-specific positive and negative RPEs. Furthermore, directional connectivity estimates revealed a leading role of INS in communicating positive and unsigned RPEs to dMPFC. These findings support asymmetric coding across distinct but intermingled neural populations as a core principle of RPE processing and inform theories of the role of dMPFC and INS in RL and cognitive control.

Indexed as

Reinforcement, PsychologyRewardBrainHumansLearningPrefrontal Cortex

Identifiers

PMID38129440
PMCPMC10739882

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.